
The most frustrating issues to debug in software development and data science are rarely syntax errors or logical mistakes; instead, they often emerge from code that functions perfectly but executes with agonizing slowness. Python performance profiling represents a significant advancement in addressing these inefficiencies. This review will explore the evolution of profiling tools, Py-Spy’s key features, its performance metrics through










